What is the eligibility criteria for BCA in Data Science at Inspiria Knowledge Campus?
The eligibility criteria for BCA in Data Science at Inspiria Knowledge Campus require candidates to have completed their 10+2 level of education from a recognized board with Mathematics or Computer Science as one of the subjects. A minimum aggregate score of 50% is typically required for general category students, while reserved categories may have some relaxation as per the prevailing rules.
How much are the fees for BCA in Data Science at Inspiria Knowledge Campus?
The fees for BCA in Data Science at Inspiria Knowledge Campus can vary each academic year. However, it generally ranges between INR 1.2 to 1.5 lakhs per annum. For the most accurate and up-to-date fee structure, it's recommended to contact the admissions office directly or visit the official website.
What is the selection process for BCA in Data Science at Inspiria Knowledge Campus?
The selection process for BCA in Data Science at Inspiria Knowledge Campus typically involves a review of the candidate's academic records followed by a personal interview. Some years may also see the inclusion of an entrance test. The final selection is based on the cumulative performance in these assessments.
Is there a cut off mark for BCA in Data Science at Inspiria Knowledge Campus?
Inspiria Knowledge Campus does not strictly adhere to a cut off mark for admission into the BCA in Data Science program. However, a competitive academic record enhances your chances of selection. The emphasis is on the overall profile of the candidate, including academic performance, personal interview, and any additional achievements.
What are the placement opportunities for BCA in Data Science graduates from Inspiria Knowledge Campus?
BCA in Data Science graduates from Inspiria Knowledge Campus have access to a wide range of placement opportunities. The campus has a dedicated placement cell that actively works on bringing in top companies for recruitment. Past graduates have been placed in roles related to data analysis, business intelligence, and software development among others in leading IT and analytics firms.